STELLATE MASSES AND HISTOLOGIC GRADES IN BREAST CANCER
STELLATE MASSES AND HISTOLOGIC GRADES IN BREAST CANCER
复制标题
DOI：
10.1016/j.ultrasmedbio.2013.11.006
复制
发表时间：
2014-05-01
影响因子：
2.9
通讯作者：
Chen, Dar-Ren
中科院分区：
文献类型：
--
作者：
Chang, Chin-Yuan;Kuo, Shou-Jen;Chen, Dar-Ren
影像学上呈星状型的乳腺肿块常转化为恶性肿瘤，但与其他类型的肿瘤相比，其组织学分级较低的趋势具有更高的生存率。本研究旨在探讨从三维超声图像冠状面提取的星状特征与组织学分级的相关性。提出了一种便于提取星状特征的预处理方法。对提取的特征进行统计测量，得出一组定量代表星状模式的指数。这些指标然后经过一个选择程序，以建立适当的决策树。决策树的分裂规则表明，星状肿瘤与低分级相关。来自低等级相关规则的一组指数有可能代表星状特征。进一步研究外周组织的低回声区对于建立完整的肿瘤分级判别模型至关重要。（E-mail: darren_chen@cch.org.tw） (C) 2014世界超声医学与生物学联合会。
Breast masses with a radiologic stellate pattern often transform into malignancies, but their tendency to be of low histologic grade yields a better survival rate compared with tumors with other patterns on mammography screening. This study was designed to investigate the correlation of histologic grade with stellate features extracted from the coronal plane of 3-D ultrasound images. A pre-processing method was proposed to facilitate the extraction of stellate features. Extracted features were statistically measured to derive a set of indices that quantitatively represent the stellate pattern. These indices then went through a selection procedure to build proper decision trees. The splitting rules of decision trees indicated that stellate tumors are associated with low grade. A set of indices from the low grade-associated rules has the potential to represent the stellate feature. Further investigation of the hypoechoic region of peripheral tissue is essential to establishment of a complete discriminating model for tumor grades. (E-mail: darren_chen@cch.org.tw) (C) 2014 World Federation for Ultrasound in Medicine & Biology.